% Key papers for LLMs and graph foundation models (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2019_graphonomy_14262,
  title = {{Graphonomy: Universal Human Parsing via Graph Transfer Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{neurips2021_ogb_63248,
  title = {{OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://openreview.net/forum?id=qkcLxoC52kL},
}

@inproceedings{cvpr2022_orphicx_19530,
  title = {{OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{aaai2020_graph_103189,
  title = {{Graph LSTM with Context-Gated Mechanism for Spoken Language Understanding}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/6499},
}

@inproceedings{aaai2024_adaptive_5130,
  title = {{Adaptive Graph Learning for Multimodal Conversational Emotion Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29876},
}

@inproceedings{aaai2020_grapher_103020,
  title = {{GraphER: Token-Centric Entity Resolution with Graph Convolutional Neural Networks}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/6330},
}

@inproceedings{cvpr2020_self_16200,
  title = {{Self-Learning With Rectification Strategy for Human Parsing}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{aaai2022_disencite_1986,
  title = {{DisenCite: Graph-Based Disentangled Representation Learning for Context-Specific Citation Generation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/11449-disencite-graph-based-disentangled-representation-learning-for-context-specific-citation-generation/},
}

@inproceedings{neurips2021_sadga_61810,
  title = {{SADGA: Structure-Aware Dual Graph Aggregation Network for Text-to-SQL}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/26032},
}

@inproceedings{neurips2023_gimlet_68263,
  title = {{GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/71535},
}

@inproceedings{iclr2023_learning_33212,
  title = {{Learning on Large-scale Text-attributed Graphs via Variational Inference}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2023},
  url = {https://iclr.cc/virtual/2023/poster/11365},
}

@inproceedings{neurips2021_topic_63577,
  title = {{Topic Modeling Revisited: A Document Graph-based Neural Network Perspective}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/27702},
}

@inproceedings{neurips2023_a_69341,
  title = {{A Comprehensive Study on Text-attributed Graphs: Benchmarking and Rethinking}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/73479},
}

@inproceedings{neurips2018_diffusion_57042,
  title = {{Diffusion Maps for Textual Network Embedding}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11729},
}

@inproceedings{neurips2022_clear_65240,
  title = {{CLEAR: Generative Counterfactual Explanations on Graphs}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/54844},
}

@inproceedings{iclr2024_harnessing_34435,
  title = {{Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18640},
}

@inproceedings{icml2019_stochastic_37762,
  title = {{Stochastic Blockmodels meet Graph Neural Networks}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2019},
  url = {https://icml.cc/virtual/2019/poster/3686},
}

@inproceedings{aaai2021_unsupervised_1594,
  title = {{Unsupervised Learning of Deterministic Dialogue Structure with Edge-Enhanced  Graph Auto-Encoder}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/13869-unsupervised-learning-of-deterministic-dialogue-structure-with-edge-enhanced-graph-auto-encoder/},
}

@inproceedings{aaai2021_neural_1059,
  title = {{Neural Sentence Ordering Based on Constraint Graphs}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/14656-neural-sentence-ordering-based-on-constraint-graphs/},
}

@inproceedings{neurips2021_plur_61769,
  title = {{PLUR: A Unifying, Graph-Based View of Program Learning, Understanding, and Repair}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/26851},
}

@inproceedings{aaai2025_leveraging_9780,
  title = {{Leveraging Large Language Models for Node Generation in Few-Shot Learning on Text-Attributed Graphs}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33428},
}

@inproceedings{aaai2025_large_9707,
  title = {{Large Language Model Meets Graph Neural Network in Knowledge Distillation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33901},
}

@inproceedings{iclr2024_label_34970,
  title = {{Label-free Node Classification on Graphs with Large Language Models (LLMs)}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18104},
}

@inproceedings{iclr2024_one_33601,
  title = {{One For All: Towards Training One Graph Model For All Classification Tasks}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19474},
}

@inproceedings{neurips2024_text_72052,
  title = {{Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/97704},
}

@inproceedings{aaai2025_semantic_10727,
  title = {{Semantic Enhanced Heterogeneous Hypergraph Network for Collaborative Filtering}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33411},
}

@inproceedings{aaai2025_multi_10039,
  title = {{Multi-View Empowered Structural Graph Wordification for Language Models}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34652},
}

@inproceedings{cvpr2025_mosaic_26998,
  title = {{Mosaic of Modalities: A Comprehensive Benchmark for Multimodal Graph Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33008},
}

@inproceedings{neurips2024_tracing_72655,
  title = {{Tracing Hyperparameter Dependencies for Model Parsing via Learnable Graph Pooling Network}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94729},
}

@inproceedings{aaai2025_msr_9875,
  title = {{MSR: A Multifaceted Self-Retrieval Framework for Microscopic Cascade Prediction}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33282},
}

@inproceedings{icml2024_explaining_43348,
  title = {{Explaining Graph Neural Networks via Structure-aware Interaction Index}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/35104},
}

@inproceedings{icml2024_llaga_43713,
  title = {{LLaGA: Large Language and Graph Assistant}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34739},
}

@inproceedings{neurips2024_teg_71958,
  title = {{TEG-DB: A Comprehensive Dataset and Benchmark of Textual-Edge Graphs}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/97714},
}

@inproceedings{aaai2025_secodec_10602,
  title = {{SECodec: Structural Entropy-based Compressive Speech Representation Codec for Speech Language Models}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34726},
}

@inproceedings{neurips2025_equivariance_78300,
  title = {{Equivariance Everywhere All At Once: A Recipe for Graph Foundation Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=d6wOZrzaWd},
}

@inproceedings{neurips2025_sstag_79387,
  title = {{SSTAG: Structure-Aware Self-Supervised Learning Method for Text-Attributed Graphs}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=onyzhnhApp},
}

@inproceedings{neurips2025_graver_79892,
  title = {{GRAVER: Generative Graph Vocabularies for Robust Graph Foundation Models Fine-tuning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=tyERwC5520},
}

@inproceedings{neurips2025_unigte_80441,
  title = {{UniGTE: Unified Graph–Text Encoding for Zero-Shot Generalization across Graph Tasks and Domains}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=zaV9s8iM2T},
}